Rchr
J-GLOBAL ID：202001000267872267
Update date: Oct. 15, 2024
Toda Yusuke
トダ ユウスケ | Toda Yusuke
Affiliation and department：
Job title：
Researcher
Homepage URL (1)：
https://sites.google.com/view/yusuke-toda
Research field (5)：
Plant genetics and breeding
, Plant genetics and breeding
, Crop production science
, Agricultural environmental and information engineering
, Agricultural environmental and information engineering
Research keywords (10)：
Statistical analysis
, Machine learning
, Soybean
, Rice
, Genomic prediction
, Genotype-by-environment interaction (G×E)
, Crop growth model
, UAV remote sensing
, Heat tolerance
, Reaction norm
Research theme for competitive and other funds (1)：
- 2023 - 2027 Development of a numerical model for multidimensional and quantitative evaluation of heat tolerance of rice cultivars in grain filling
Papers (15)：
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Mashiro Okada, Clément Barras, Yusuke Toda, Kosuke Hamazaki, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Masami Yokota Hirai, et al. High-throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models. Plant Phenomics. 2024. 6. 0244
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Maud Delattre, Yusuke Toda, Jessica Tressou, Hiroyoshi Iwata. Modeling soybean growth: A mixed model approach. PLOS Computational Biology. 2024. 20. 7. e1011258-e1011258
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Yusuke Toda, Yasushi Ishigooka, Mayumi Yoshimoto, Takahiro Takimoto, Tsuneo Kuwagata, David Makowski, Toshihiro Hasegawa. Revealing the spatial characteristics of rice heat exposure in Japan through panicle temperature analysis. Journal of Agricultural Meteorology. 2024. 80. 3. 79-89
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Yusuke Toda, Goshi Sasaki, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Hiromi Kajiya-Kanegae, Hisashi Tsujimoto, Akito Kaga, et al. Reaction norm for genomic prediction of plant growth: modeling drought stress response in soybean. Theoretical and Applied Genetics. 2024. 137. 4
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Tung Dang, Yushiro Fuji, Kie Kumaishi, Erika Usui, Shungo Kobori, Takumi Sato, Yusuke Toda, Kengo Sakurai, Yuji Yamasaki, Hisashi Tsujimoto, et al. An integrative framework of stochastic variational variable selection for joint analysis of multi-omics microbiome data. bioRxiv (preprint). 2023
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MISC (19)：
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福本勇太, CHEN T., CHEN T., 戸田悠介, 大森良弘, 山崎裕司, 高橋宏和, 高梨秀樹, 津田麻衣, 平井優美, et al. Fusion of UAV remote sensing data and hand-measured data based on a nonlinear growth model. 育種学研究. 2023. 25
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岩田洋佳, 戸田悠介, 櫻井建吾, 藤佑志郎, 大森良弘, 山崎裕司, 高橋宏和, 高梨秀樹, 津田麻衣, 鐘ケ江弘美, et al. Selection of cross combinations based on genomic-ionomic prediction models: application to the breeding of drought tolerant soybean lines. 育種学研究. 2023. 25
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岩田洋佳, 戸田悠介, 藤佑志郎, 大森良弘, 山崎裕司, 高橋宏和, 高梨秀樹, 津田麻衣, 鐘ケ江弘美, 平井優美, et al. Using multi-omics data as an intermediate phenotype to improve the accuracy of genomic prediction. 育種学研究. 2022. 24
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櫻井建吾, 戸田悠介, 藤佑志郎, 大森良弘, 山崎裕司, 高橋宏和, 高梨秀樹, 津田麻衣, 平井優美, 辻本壽, et al. Estimating genetic correlation between traits and environments based on the analysis of high-dimensional ・multi-environmental multiomics data. 育種学研究. 2022. 24
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吉岡勇人, 戸田悠介, 藤佑志郎, 大森良弘, 市橋泰範, 臼井絵里香, 熊石妃恵, 佐藤匠, 小堀峻吾, 加賀秋人, et al. Modeling of plant-microbe interactions using multi-omics data. 育種学研究. 2022. 24
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Education (3)：
- 2016 - 2021 The University of Tokyo Graduate School of Agricultural and Life Sciences Agricultural and Environmental Biology
- 2014 - 2016 The University of Tokyo Faculty of Agriculture Major in Applied Biology
- 2012 - 2014 The University of Tokyo
Work history (2)：
- 2022/04 - 現在 National Agriculture and Food Research Organization Institute for Agro-Environmental Sciences, NARO Researcher
- 2021/04 - 2022/03 The University of Tokyo Graduate School of Agricultural and Life Sciences Project researcher
Awards (2)：
- 2024/10 - Japanese Society of Breeding Awards for excellence in presentation Projection of heat-induced spikelet sterility of rice and effects of breeding strategies
- 2021/03 - Graduate School of Agricultural and Life Sciences, The University of Tokyo Dean's Award
Association Membership(s) (3)：
The Society of Agricultural Meteorology of Japan
, Japanese Society of Breeding
, Japanese Society of Agricultural Informatics
